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Quantifying credit gaps using survey data on discouraged borrowers

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  • Akbas, Ozan E.
  • Betz, Frank
  • Gattini, Luca

Abstract

The credit gap in this study is given by the financing needs of firms that are bankable but discouraged from applying for a loan. To quantify the credit gap, we combine a scoring model that assesses the creditworthiness of discouraged firms with a credit allocation rule. Our study covers 35 emerging markets and developing economies and uses the 2018-2020 EBRD-EIB-World Bank Enterprise Survey. We show that on average discouraged firms are less creditworthy than successful applicants. Nonetheless, the share of bankable discouraged firms is large, suggesting inefficient credit rationing. The baseline results point to an aggregate credit gap of 8.4% of GDP with significant variation across countries. SMEs account for more than two-thirds of the total, reflecting both their contribution to economic activity and the fact that they are more likely to be credit-constrained.

Suggested Citation

  • Akbas, Ozan E. & Betz, Frank & Gattini, Luca, 2023. "Quantifying credit gaps using survey data on discouraged borrowers," EIB Working Papers 2023/06, European Investment Bank (EIB).
  • Handle: RePEc:zbw:eibwps:280955
    DOI: 10.2867/292116
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    1. Ross Brown & José M. Liñares-Zegarra & John O.S. Wilson, 2022. "Innovation and borrower discouragement in SMEs," Small Business Economics, Springer, vol. 59(4), pages 1489-1517, December.
    2. Levenson, Alec R & Willard, Kristen L, 2000. "Do Firms Get the Financing They Want? Measuring Credit Rationing Experienced by Small Business in the U.S," Small Business Economics, Springer, vol. 14(2), pages 83-94, March.
    3. Alberto Abadie & Maximilian Kasy, 2019. "Choosing Among Regularized Estimators in Empirical Economics: The Risk of Machine Learning," The Review of Economics and Statistics, MIT Press, vol. 101(5), pages 743-762, December.
    4. Daniel Domeher & Godwin Musah & Najib Hassan, 2017. "Inter-sectoral Differences in the SME Financing Gap: Evidence from Selected Sectors in Ghana," Journal of African Business, Taylor & Francis Journals, vol. 18(2), pages 194-220, April.
    5. Nada Mselmi & Amine Lahiani & Taher Hamza, 2017. "Financial distress prediction: The case of French small and medium-sized firms," Post-Print hal-03529325, HAL.
    6. Inessa Love, 2003. "Financial Development and Financing Constraints: International Evidence from the Structural Investment Model," The Review of Financial Studies, Society for Financial Studies, vol. 16(3), pages 765-791, July.
    7. Han, Liang & Fraser, Stuart & Storey, David J., 2009. "Are good or bad borrowers discouraged from applying for loans? Evidence from US small business credit markets," Journal of Banking & Finance, Elsevier, vol. 33(2), pages 415-424, February.
    8. Acheampong, Albert & Elshandidy, Tamer, 2021. "Does soft information determine credit risk? Text-based evidence from European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    9. Stefano Filomeni & Gregory F. Udell & Alberto Zazzaro, 2021. "Hardening soft information: does organizational distance matter?," The European Journal of Finance, Taylor & Francis Journals, vol. 27(9), pages 897-927, June.
    10. Tian, Shaonan & Yu, Yan, 2017. "Financial ratios and bankruptcy predictions: An international evidence," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 510-526.
    11. Lang, Jan Hannes & Welz, Peter, 2018. "Semi-structural credit gap estimation," Working Paper Series 2194, European Central Bank.
    12. Mac an Bhaird, Ciarán & Vidal, Javier Sanchez & Lucey, Brian, 2016. "Discouraged borrowers: Evidence for Eurozone SMEs," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 44(C), pages 46-55.
    13. Mark Freel & Sara Carter & Stephen Tagg & Colin Mason, 2012. "The latent demand for bank debt: characterizing “discouraged borrowers”," Small Business Economics, Springer, vol. 38(4), pages 399-418, May.
    14. Stefania Albanesi & Domonkos F. Vamossy, 2024. "Credit Scores: Performance and Equity," Papers 2409.00296, arXiv.org.
    15. Mai, Feng & Tian, Shaonan & Lee, Chihoon & Ma, Ling, 2019. "Deep learning models for bankruptcy prediction using textual disclosures," European Journal of Operational Research, Elsevier, vol. 274(2), pages 743-758.
    16. Cole, Rebel & Sokolyk, Tatyana, 2016. "Who needs credit and who gets credit? Evidence from the surveys of small business finances," Journal of Financial Stability, Elsevier, vol. 24(C), pages 40-60.
    17. Hamid Cheraghali & Peter Molnár, 2024. "SME default prediction: A systematic methodology-focused review," Journal of Small Business Management, Taylor & Francis Journals, vol. 62(6), pages 2847-2905, November.
    18. Bengt Holmstrom & Jean Tirole, 1997. "Financial Intermediation, Loanable Funds, and The Real Sector," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(3), pages 663-691.
    19. Chakravarty, Sugato & Xiang, Meifang, 2013. "The international evidence on discouraged small businesses," Journal of Empirical Finance, Elsevier, vol. 20(C), pages 63-82.
    20. Corrigan, Eoin & O'Toole, Conor & Slaymaker, 2020. "Credit demand in the Irish mortgage market: What is the gap and could public lending help?," Papers WP671, Economic and Social Research Institute (ESRI).
    21. Martin Ruckes, 2004. "Bank Competition and Credit Standards," The Review of Financial Studies, Society for Financial Studies, vol. 17(4), pages 1073-1102.
    22. Domenico Giannone & Michele Lenza & Giorgio E. Primiceri, 2021. "Economic Predictions With Big Data: The Illusion of Sparsity," Econometrica, Econometric Society, vol. 89(5), pages 2409-2437, September.
    23. Tobias Berg, 2018. "Got Rejected? Real Effects of Not Getting a Loan," The Review of Financial Studies, Society for Financial Studies, vol. 31(12), pages 4912-4957.
    24. Abhijit V. Banerjee & Esther Duflo, 2014. "Do Firms Want to Borrow More? Testing Credit Constraints Using a Directed Lending Program," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(2), pages 572-607.
    25. Bai, Qing & Tian, Shaonan, 2020. "Innovate or die: Corporate innovation and bankruptcy forecasts," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 88-108.
    26. José-Luis Peydró [AP BACKUP – NOW EXTERNAL] & Rafael Repullo & Gabriel Jiménez & Jesús Saurina & José-Luis Peydró, 2017. "Burning Money? Government Lending in a Credit Crunch," Working Papers 984, Barcelona School of Economics.
    27. Beck, Thorsten & Demirguc-Kunt, Asli & Laeven, Luc & Maksimovic, Vojislav, 2006. "The determinants of financing obstacles," Journal of International Money and Finance, Elsevier, vol. 25(6), pages 932-952, October.
    28. Stefano Filomeni & Udichibarna Bose & Anastasios Megaritis & Athanasios Triantafyllou, 2024. "Can market information outperform hard and soft information in predicting corporate defaults?," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3567-3592, July.
    29. Becchetti, Leonardo & Sierra, Jaime, 2003. "Bankruptcy risk and productive efficiency in manufacturing firms," Journal of Banking & Finance, Elsevier, vol. 27(11), pages 2099-2120, November.
    30. Fernández-Gámez, Manuel Ángel & Soria, Juan Antonio Campos & Santos, José António C. & Alaminos, David, 2020. "European country heterogeneity in financial distress prediction: An empirical analysis with macroeconomic and regulatory factors," Economic Modelling, Elsevier, vol. 88(C), pages 398-407.
    31. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
    32. Yuriy Gorodnichenko & Monika Schnitzer, 2013. "Financial Constraints And Innovation: Why Poor Countries Don'T Catch Up," Journal of the European Economic Association, European Economic Association, vol. 11(5), pages 1115-1152, October.
    33. Robert N. Lussier & Sanja Pfeifer, 2001. "A Crossnational Prediction Model for Business Success," Journal of Small Business Management, Taylor & Francis Journals, vol. 39(3), pages 228-239, July.
    34. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    35. Anoosheh Rostamkalaei & Miwako Nitani & Allan Riding, 2020. "Borrower discouragement: the role of informal turndowns," Small Business Economics, Springer, vol. 54(1), pages 173-188, January.
    36. Pietrovito, Filomena & Rancan, Michela, 2024. "Credit rationing and sustainable activities: A firm-level investigation," International Review of Economics & Finance, Elsevier, vol. 94(C).
    37. Altman, Edward I. & Marco, Giancarlo & Varetto, Franco, 1994. "Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)," Journal of Banking & Finance, Elsevier, vol. 18(3), pages 505-529, May.
    38. Nada Mselmi & Amine Lahiani & Taher Hamza, 2017. "Financial distress prediction: The case of French small and medium-sized firms," Post-Print hal-03380580, HAL.
    39. Koomson, Isaac & Koomson, Paul & Abdul-Mumuni, Abdallah, 2023. "Trust in banks, financial inclusion and the mediating role of borrower discouragement," International Review of Economics & Finance, Elsevier, vol. 88(C), pages 1418-1431.
    40. Popov, Alexander & Udell, Gregory F., 2012. "Cross-border banking, credit access, and the financial crisis," Journal of International Economics, Elsevier, vol. 87(1), pages 147-161.
    41. Ahmad, Abd Halim, 2019. "What factors discriminate reorganized and delisted distressed firms: Evidence from Malaysia," Finance Research Letters, Elsevier, vol. 29(C), pages 50-56.
    42. Kon, Y & Storey, D J, 2003. "A Theory of Discouraged Borrowers," Small Business Economics, Springer, vol. 21(1), pages 37-49, August.
    43. Beck, Thorsten & Degryse, Hans & De Haas, Ralph & van Horen, Neeltje, 2018. "When arm's length is too far: Relationship banking over the credit cycle," Journal of Financial Economics, Elsevier, vol. 127(1), pages 174-196.
    44. Xing, Kai & Luo, Dan & Liu, Lanlan, 2023. "Macroeconomic conditions, corporate default, and default clustering," Economic Modelling, Elsevier, vol. 118(C).
    45. Sudheer Chava & Robert A. Jarrow, 2008. "Bankruptcy Prediction with Industry Effects," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 21, pages 517-549, World Scientific Publishing Co. Pte. Ltd..
    46. Altman, Edward I. & Haldeman, Robert G. & Narayanan, P., 1977. "ZETATM analysis A new model to identify bankruptcy risk of corporations," Journal of Banking & Finance, Elsevier, vol. 1(1), pages 29-54, June.
    47. Balcaen, Sofie & Ooghe, Hubert, 2006. "35 years of studies on business failure: an overview of the classic statistical methodologies and their related problems," The British Accounting Review, Elsevier, vol. 38(1), pages 63-93.
    48. Reto Wernli & Andreas Dietrich, 2022. "Only the brave: improving self-rationing efficiency among discouraged Swiss SMEs," Small Business Economics, Springer, vol. 59(3), pages 977-1003, October.
    49. Porzio, Claudio & Sampagnaro, Gabriele & Verdoliva, Vincenzo, 2020. "Lost in Translation: The determinants and the effect of soft information dispersion in bank lending," Global Finance Journal, Elsevier, vol. 43(C).
    50. Namara, Andrea Mc & Murro, Pierluigi & O’Donohoe, Sheila, 2025. "Discouraged borrowers and the importance of countries’ lending infrastructure for SMEs," International Review of Economics & Finance, Elsevier, vol. 98(C).
    51. Edward I. Altman, 1968. "Financial Ratios, Discriminant Analysis And The Prediction Of Corporate Bankruptcy," Journal of Finance, American Finance Association, vol. 23(4), pages 589-609, September.
    52. Hui Zou & Trevor Hastie, 2005. "Addendum: Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(5), pages 768-768, November.
    53. Edward I. Altman & Gabriele Sabato, 2013. "MODELING CREDIT RISK FOR SMEs: EVIDENCE FROM THE US MARKET," World Scientific Book Chapters, in: Oliviero Roggi & Edward I Altman (ed.), Managing and Measuring Risk Emerging Global Standards and Regulations After the Financial Crisis, chapter 9, pages 251-279, World Scientific Publishing Co. Pte. Ltd..
    54. Ferrando, Annalisa & Mulier, Klaas, 2022. "The real effects of credit constraints: Evidence from discouraged borrowers," Journal of Corporate Finance, Elsevier, vol. 73(C).
    55. du Jardin, Philippe, 2009. "Bankruptcy prediction models: How to choose the most relevant variables?," MPRA Paper 44380, University Library of Munich, Germany.
    56. Thorsten Beck & Asli Demirgüç‐Kunt & Vojislav Maksimovic, 2005. "Financial and Legal Constraints to Growth: Does Firm Size Matter?," Journal of Finance, American Finance Association, vol. 60(1), pages 137-177, February.
    57. Gama, Ana Paula Matias & Duarte, Fábio Dias & Esperança, José Paulo, 2017. "Why discouraged borrowers exist? An empirical (re)examination from less developed countries," Emerging Markets Review, Elsevier, vol. 33(C), pages 19-41.
    58. Martin Brown & Steven Ongena & Alexander Popov & Pinar Yeşin, 2011. "Who needs credit and who gets credit in Eastern Europe? [Interaction terms in logit and probit models]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 26(65), pages 93-130.
    59. Calomiris, Charles W. & Larrain, Mauricio & Liberti, José & Sturgess, Jason, 2017. "How collateral laws shape lending and sectoral activity," Journal of Financial Economics, Elsevier, vol. 123(1), pages 163-188.
    60. Taffler, Richard J., 1984. "Empirical models for the monitoring of UK corporations," Journal of Banking & Finance, Elsevier, vol. 8(2), pages 199-227, June.
    61. James C. Flagg & Gary A. Giroux & Casper E. Wiggins, 1991. "Predicting Corporate Bankruptcy Using Failing Firms," Review of Financial Economics, John Wiley & Sons, vol. 1(1), pages 67-78, September.
    62. Bertrand, Jérémie & Mazza, Paolo, 2022. "Borrowers’ discouragement and creditor information," International Review of Law and Economics, Elsevier, vol. 72(C).
    63. Ohlson, Ja, 1980. "Financial Ratios And The Probabilistic Prediction Of Bankruptcy," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 18(1), pages 109-131.
    64. Zmijewski, Me, 1984. "Methodological Issues Related To The Estimation Of Financial Distress Prediction Models," Journal of Accounting Research, John Wiley & Sons, Ltd., vol. 22, pages 59-82.
    65. Tian, Shaonan & Yu, Yan & Guo, Hui, 2015. "Variable selection and corporate bankruptcy forecasts," Journal of Banking & Finance, Elsevier, vol. 52(C), pages 89-100.
    66. Jérémie Bertrand & Paolo Mazza, 2022. "Borrowers’ discouragement and creditor information," Post-Print hal-03976685, HAL.
    67. repec:bla:ecpoli:v:26:y:2011:i:01:p:93-130 is not listed on IDEAS
    68. Berger, Allen N & Udell, Gregory F, 1992. "Some Evidence on the Empirical Significance of Credit Rationing," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 1047-1077, October.
    69. Edward I. Altman & Małgorzata Iwanicz-Drozdowska & Erkki K. Laitinen & Arto Suvas, 2020. "A Race for Long Horizon Bankruptcy Prediction," Applied Economics, Taylor & Francis Journals, vol. 52(37), pages 4092-4111, July.
    70. Alexander Popov, 2016. "Monetary Policy, Bank Capital, and Credit Supply: A Role for Discouraged and Informally Rejected Firms," International Journal of Central Banking, International Journal of Central Banking, vol. 12(1), pages 95-141, March.
    71. Li Lian Ong & Min Wei & Christian Schmieder, 2023. "Insights into credit loss rates: a global database," BIS Working Papers 1101, Bank for International Settlements.
    72. Hui Zou & Trevor Hastie, 2005. "Regularization and variable selection via the elastic net," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 67(2), pages 301-320, April.
    73. Francesco Nucci & Filomena Pietrovito & Alberto Franco Pozzolo, 2021. "Imports and credit rationing: A firm‐level investigation," The World Economy, Wiley Blackwell, vol. 44(11), pages 3141-3167, November.
    74. Mathias Drehmann & Kostas Tsatsaronis, 2014. "The credit-to-GDP gap and countercyclical capital buffers: questions and answers," BIS Quarterly Review, Bank for International Settlements, March.
    75. Giovanni Dell'Ariccia & Robert Marquez, 2006. "Lending Booms and Lending Standards," Journal of Finance, American Finance Association, vol. 61(5), pages 2511-2546, October.
    76. Tullio Jappelli, 1990. "Who is Credit Constrained in the U. S. Economy?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 219-234.
    77. Liang, Deron & Lu, Chia-Chi & Tsai, Chih-Fong & Shih, Guan-An, 2016. "Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study," European Journal of Operational Research, Elsevier, vol. 252(2), pages 561-572.
    78. Frydman, Halina & Altman, Edward I & Kao, Duen-Li, 1985. "Introducing Recursive Partitioning for Financial Classification: The Case of Financial Distress," Journal of Finance, American Finance Association, vol. 40(1), pages 269-291, March.
    79. Mselmi, Nada & Lahiani, Amine & Hamza, Taher, 2017. "Financial distress prediction: The case of French small and medium-sized firms," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 67-80.
    80. Amendola, Alessandra & Restaino, Marialuisa & Sensini, Luca, 2015. "An analysis of the determinants of financial distress in Italy: A competing risks approach," International Review of Economics & Finance, Elsevier, vol. 37(C), pages 33-41.
    81. Gropp, Reint & Guettler, Andre, 2018. "Hidden gems and borrowers with dirty little secrets: Investment in soft information, borrower self-selection and competition," Journal of Banking & Finance, Elsevier, vol. 87(C), pages 26-39.
    82. Appiah, Kingsley Opoku & Chizema, Amon, 2016. "The impact of board quality and nomination committee on corporate bankruptcy," Advances in accounting, Elsevier, vol. 35(C), pages 75-81.
    83. José María Liberti & Mitchell A Petersen, 2019. "Information: Hard and Soft," The Review of Corporate Finance Studies, Society for Financial Studies, vol. 8(1), pages 1-41.
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    JEL classification:

    • D22 - Microeconomics - - Production and Organizations - - - Firm Behavior: Empirical Analysis
    • D45 - Microeconomics - - Market Structure, Pricing, and Design - - - Rationing; Licensing
    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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